An Introduction to Statistics for Biologists Using R Back
This course will concentrate on enabling participants to use R to input data, to summarise it and to carry out some basic statistical analyses and tests.
R is a statistical programming environment which is free and Open Source. Thanks to a large online community of R users and developers, there is little doubt that it is one of the best available statistical packages. Its flexibility, wealth of available packages and graphics capacity are but a few of its notable features.
Participants will also learn to appreciate the rationale behind the methods used.
The Royal Society of Biology and Cardiff Business School are partnering to provide this course again this year, following our previous successful R course.
- Data input - formatting and getting data into R
- Types of data - numerical and text-valued data and how statistics and R deals with them
- Graphics and Summary Measures for examining the distribution of data values - typical tools for Exploratory Data Analysis
- Relationships between two variables - Correlations
- Statistical distributions and why they are important for techniques such as sampling
- Hypothesis tests (including the sign, t-, Mann-Whitney and Chi-Squared tests)
- Confidence Intervals
- Combining and Merging Data Sets
- Simple Univariate and Multivariate Models